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Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

Eric Papenhausen, Ziyi Zheng, Klaus Mueller

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

August 22, 2012 by hgpu

Parallel Trajectory Planning on GPU

David Hlavaty

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Thesis

August 22, 2012 by hgpu

Improving OpenACC compatibility within accULL

Ivan Lopez-Rodriguez

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenACC, OpenCL, Tesla C2050

August 22, 2012 by hgpu

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Chunsheng Feng, Shi Shu, Jinchao Xu, Chen-Song Zhang

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Tags: Computational Physics, CUDA, Differential equations, FFT, Heterogeneous systems, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Poisson equation

August 22, 2012 by hgpu

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Can Basaran, Kyoung-Don Kang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Performance, Task scheduling

August 21, 2012 by hgpu

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Yi Yang, Ping Xiang, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Performance

August 21, 2012 by hgpu

Shared Memory Multiplexing: A Novel Way to Improve GPGPU Throughput

Yi Yang, Ping Xiang, Mike Mantor, Norm Rubin, Huiyang Zhou

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

August 21, 2012 by hgpu

Cosmological Calculations on the GPU

Deborah Bard, Matthew Bellis, Mark T. Allen, Hasmik Yepremyan, Jan M. Kratochvil

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla M2070

August 20, 2012 by hgpu

High performance transcription factor-DNA docking with GPU computing

Jiadong Wu, Bo Hong, Takako Takeda, Jun-tao Guo

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Tags: Algorithms, Benchmarking, Bioinformatics, Biology, CUDA, Genetics, GPU cluster, nVidia, Tesla M2070

August 20, 2012 by hgpu

GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis

Sergio Bernabe, Sebastian Lopez, Antonio Plaza, Roberto Sarmiento

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Tesla C1060

August 20, 2012 by hgpu

Light Propagation Maps on Parallel Graphics Architectures

A. Gruson, A. Hakke Patil, R. Cozot, K. Bouatouch, S. Pattanaik

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 560 M, nVidia GeForce GTX 580

August 20, 2012 by hgpu

A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem

Melab Nouredine, Imen Chakroun, Mezmaz Mohand, Daniel Tuyttens

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

August 20, 2012 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Programming

Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction

Parallel Trajectory Planning on GPU

Improving OpenACC compatibility within accULL

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Shared Memory Multiplexing: A Novel Way to Improve GPGPU Throughput

Cosmological Calculations on the GPU

High performance transcription factor-DNA docking with GPU computing

GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis

Light Propagation Maps on Parallel Graphics Architectures

A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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